Faculty Development Programme
Date: 24th to 28th June 2024
Time:10 am onwards
Venue: Noida International University, Greater Noida, UP
Total No. of participants: 76
Objectives: –
- To understand and apply methods for summarizing and describing data using numerical measures and graphical
- To learn effective techniques and methodologies for systematically gathering reliable data in research
- To comprehend and apply methods for assessing the validity (accuracy) and reliability (consistency) of research instruments and
- To master techniques for systematically synthesizing research findings from multiple studies to derive robust
- To impart knowledge on the various statistical tools for the excellence in
- To give the insights on SPSS software
- To develop skills in critically reviewing literature relevant to a research topic and engaging in scholarly discussions to advance understanding in the
- To explore advanced research design methodologies like factorial, randomized block, and crossover designs, and understand their application in experimental
- To learn methods for testing hypotheses involving categorical data, such as chi-square tests and other inferential statistical
- To analyze data using basic and advance statistical techniques in SPSS
- To Interpret SPSS output
About FDP: –
Data analytics is all about looking at various factors to see how they impact certain situations and outcomes. When dealing with data that contains more than two variables, multivariate analysis is used. Multivariate analysis encompasses a whole range of statistical techniques. These techniques allow us to gain a deeper understanding of concerned data in relation to specific business or real- world scenarios. This one-week FDP was intended to train participants with basic & advance data analysis skills using SPSS to produce quality research work.
Introduction:
On June 24th, 2024, School of Nursing, Noida International University embarked on an enriching faculty knowledge and learning by organizing Faculty Development Programme from 24th June 2024 to 28th June 2024. The FDP was meticulously organized by the SON department under the guidance of Prof. (Dr.) Dipak Sethi, Dean, NIU, with the support of faculty members as organizing team.
Convenor
- (Dr.) Dipak Sethi, Dean, School of Nursing, NIU
Co-Convenor
- Yuri Verma, Assistant Professor, School of Nursing, NIU
- Prachi Yadav, Assistant Professor, School of Nursing, NIU
- Diksha, Assistant Professor, School of Nursing, NIU
- Sonia Mehta, Assistant Professor, School of Nursing, NIU
- Neha Kakran, Assistant Professor, School of Nursing, NIU
FDP Highlights:
AN ONLINE FIVE DAYS FDP ON UTILIZING MULTIVARIATE STATISTICAL TECHNIQUES IN RESEARCH
The main objective of the FDP was to bring faculty members and corporates from various disciplines under one roof and connect them with leading experts in the field of Utilizing Multivariate Statistical Techniques in Research so that teachers and academic fraternities can learn new and better ways to conduct the research.
Key Takeaways
- Writing literature review and Discussion
- Development of research tool
- Publication process and ethics in publication
- Factorial design, Randomize block design & cross over design
Welcome and Introduction: Inaugural Session
Upon arrival, the participants were warmly welcomed by the team at SON Department. They were provided with an overview of the FDP objectives and its role in Utilizing Multivariate Statistical Techniques in Research.
FDP Welcome Speech
Esteemed guests, distinguished colleagues, and participants hailing from diverse corners of the globe, I extend a gracious welcome to the Inaugural Ceremony of the Faculty Development Program (FDP) on the “Utilizing Multivariate Statistical Techniques in Research” in Noida International University.
Before we proceed, let us collectively recognize the profound significance of this moment. We are very thankful to our dignitaries:
- Honorable Chairman, Devesh Kumar Singh Sir, NIU
- Honorable Chancellor, Vikram Singh Sir, NIU
- Honorable Vice-chancellor Dr. Uma Bhardwaj Ma’am, NIU
- Honorable Dean, Research and Development, (Dr.) Tanveer Wani, NIU
- Honorable Dean, School of Nursing, (Dr.) Deepak Sethi, NIU
SCHEDULE OF EVNET
Day 1 – Monday, June 24th, 2024
· 10:00 am – 10:45 am
Speaker: Dr. G Balamurugan, Assistant Professor, NIMHANS, Bengaluru Topic: Descriptive Statistics
Summary: Dr. Balamurugan provided an overview of descriptive statistics, covering measures such as mean, median, mode, and variability measures like standard deviation and range.
· 10:45 am – 11:30 am
Speaker: Dr. Dipak Sethi, Dean, SON NIU
Topic: Calculation of Validity and Reliability index
Summary: Dr. Sethi provided insights into assessing validity and reliability in research instruments, highlighting key indices and their implications for robust research outcomes.
· 11:30 am – 12:15 pm
Speaker: Prof. Fazil Hasan, Assistant Professor, NIU
Topic: Method of Data Collection; Calculation of Validity and Reliability Index Summary: This session delved into various methods of data collection, emphasizing
their impact on the validity and reliability of research findings. Practical techniques for assessing these indices were discussed.
· 12:15 pm – 1:00 pm
Speaker: Dr. N. Shiva Kumar, Senior Research Fellow (ICMR), Associate Professor Topic: Systematic Review & Meta-analysis
Summar: the process of conducting systematic reviews and meta- analyses, highlighting their importance in synthesizing evidence from multiple studies.
Day 2 – Tuesday, June 25th, 2024
· 10:45 am – 11:30 am
Speaker: Prof. Fazil Hasan, Assistant Professor, NIIMS Topic: Normal distribution curve with Z test
Summary: Prof. Singh elucidated on the normal distribution curve and Z test, providing participants with a deeper understanding of statistical inference in research.
· 11:40 pm – 12:30 pm
Speaker: Prof. Dipak Sethi, Dean, SON NIU Topic: Review Exercise on descriptive analysis
Summary. Sethi conducted a review exercise consolidating concepts learned, reinforcing the application of descriptive analysis techniques.
Day 3 – Wednesday, June 26th, 2024
10:00 am – 10:45 am
Speaker: Dr. Fazil Hasan, Assistant Professor, NIU Topic: SPSS & Graphical Representation of Data
Summary: Dr. Hasan demonstrated the use of SPSS software for statistical analysis and showcased various graphical methods for data representation.
Day 4: Thursday, June 27th, 2024
The fourth day centered on the intricacies of quantitative research methodologies:
· 10:00 am – 10:45 am
Speaker: Dr. Sukhbir Kaur, Associate Professor, SGRD University, Amritsar Topic: Types of variables in quantitative research
Summary: Dr. Kaur delineated various types of variables used in quantitative research, facilitating a deeper understanding among participants
· 10:45 am – 11:30 am
Speaker: Dr. Shiva Rajkumar, Northumbria University, UK Topic: Sampling techniques
Summary: Dr. Shiva Rajkumar discussed different sampling techniques and their implications for research design and data generalizability
· 11:30 am – 12:15 pm
Speaker: Dr. N. Shiva Kumar, Senior Research Fellow (ICMR), Associate Professor Topic: Interpretation of research outcomes
Summary: Dr. Shiva Kumar provided guidelines on interpreting research
Outcomes effectively, ensuring meaningful conclusions from study findings.
Day 5: Friday, June 28th, 2024
The final day focused on validating research findings and practical tools development:
· 10:00 am – 10:45 am
Speaker. G Balamurugan, Assistant Professor, NIMHANS, Bengaluru Topic: Types of Validity & Reliability
Summary: Dr. Balamurugan discussed different types of validity and reliability assessments critical for ensuring research credibility.
· 10:45 am – 11:30 am
Speaker: Prof. (Dr.) Poonam Sharma, Associate Dean, SGT University Topic: Development of research tool
Summary: Prof. Sharma shared insights into the systematic development and validation of research tools, emphasizing their role in enhancing research quality.
· 11:30 am onwards
Speaker: Prof. Fazil Hasan, Assistant Professor, NIU Topic: Review exercise on inferential statistics via SPSS
Summary: Dr. Hasan conducted a practical session on applying inferential statistics using SPSS, consolidating participants’ learning from the workshop.
Report Summary:
The workshop commenced with a comprehensive overview of foundational statistical concepts such as descriptive statistics, data collection methods, and validity assessment. The subsequent days are structured to cover advanced topics including correlation analysis, hypothesis testing, and practical sessions on statistical software and graphical representation.
The sessions were led by esteemed faculty members from prestigious institutions, ensuring a blend of theoretical insights and practical applications. Participants benefited from interactive discussions and hands-on exercises, enhancing their proficiency in statistical analysis and research methodology.
